{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 任务4 分析销售季节性特点，据以安排店员年休假或培训时间，以及订货量控制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x960 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 任务4 ：分析销售季节性特点，据以安排店员年休假或培训时间，以及订货量控制\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "tmp = pd.read_excel('供应链商品销售数据.xlsx') #读取excel表格\n",
    "\n",
    "tmp2_gb = pd.pivot_table(tmp[['销售月份', '销售点类型', '销售额（万元）']], \n",
    "               index=['销售点类型', '销售月份'],aggfunc=np.sum)  # 创建透视表\n",
    "tmp2_gb1 = tmp2_gb.loc['CBD店']  # CBD店销售月份与销售额关系\n",
    "t1 = list(tmp2_gb1.index)\n",
    "ind = ['January','February','March','April','May','June','July','August','September','October','November','December']\n",
    "number1 = tmp2_gb1.loc[ind]     # CBD店按月份排序\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "# 设置matplotlib正常显示中文和负号\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "#设置图形大小\n",
    "plt.figure(figsize=(15,12),dpi = 80)\n",
    "\n",
    "#数据\n",
    "a = ['January','February','March','April','May','June','July','August','September','October','November','December']\n",
    "b_1 = number1['销售额（万元）']\n",
    "height = 0.2\n",
    "a1 = list(range(len(a)))\n",
    "a2 = [i+height for i in a1]#坐标轴偏移\n",
    "plt.barh(range(len(a)),b_1,height= height,label = \"CBD\",color = \"#FFC125\")#绘图\n",
    "plt.grid(alpha = 0.4)#绘制网格\n",
    "plt.yticks(a2,a,fontsize = 14)#y轴坐标刻度标识\n",
    "plt.legend()#添加图例\n",
    "\n",
    "#添加横纵坐标，标题\n",
    "plt.xlabel(\"销售额（万元）\",fontsize = 16)\n",
    "plt.ylabel(\"销售月份\",fontsize = 16)\n",
    "plt.title(\"CBD店季度与各月份销售额展示\",fontsize = 24)\n",
    "\n",
    "#显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x960 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "tmp = pd.read_excel('./data/供应链商品销售数据.xlsx') #读取excel表格\n",
    "\n",
    "# 任务4 ：分析销售季节性特点，据以安排店员年休假或培训时间，以及订货量控制\n",
    "\n",
    "tmp2_gb = pd.pivot_table(tmp[['销售月份', '销售点类型', '销售额（万元）']], \n",
    "               index=['销售点类型', '销售月份'],aggfunc=np.sum)  # 创建透视表\n",
    "tmp2_gb2 = tmp2_gb.loc['社区店']  # 社区店销售月份与销售额关系\n",
    "ind = ['January','February','March','April','May','June','July','August','September','October','November','December']\n",
    "number2 = tmp2_gb2.loc[ind]     # 社区店按月份排序\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "#设置图形大小\n",
    "\n",
    "plt.figure(figsize=(15,12),dpi = 80)\n",
    "# 设置matplotlib正常显示中文和负号\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "#数据\n",
    "a = ['January','February','March','April','May','June','July','August','September','October','November','December']\n",
    "b = number2['销售额（万元）']\n",
    "\n",
    "height = 0.2\n",
    "a1 = list(range(len(a)))\n",
    "a2 = [i+height for i in a1]#坐标轴偏移\n",
    "#绘图\n",
    "plt.barh(range(len(a)),b,height= height,label = \"社区店\",color = \"#FFC125\")\n",
    "\n",
    "#绘制网格\n",
    "plt.grid(alpha = 0.4)\n",
    "\n",
    "#y轴坐标刻度标识\n",
    "plt.yticks(a2,a,fontsize = 14)\n",
    "\n",
    "#添加图例\n",
    "plt.legend()\n",
    "\n",
    "#添加横纵坐标，标题\n",
    "plt.xlabel(\"销售额（万元）\",fontsize = 16)\n",
    "plt.ylabel(\"销售月份\",fontsize = 16)\n",
    "plt.title(\"社区店季度与各月份销售额展示\",fontsize = 24)\n",
    "\n",
    "#显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "\n",
    "lab = ['第一季度', '第二季度', '第三季度', '第四季度']\n",
    "num = [1140.0, 1216.0, 1265.0, 1360.5]\n",
    "plt.pie(num, explode=[0.02]*4, labels=lab,autopct='%1.1f%%', shadow=False,startangle=150)\n",
    "plt.title(\"CBD店季度销售情况\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "\n",
    "lab = ['第一季度', '第二季度', '第三季度', '第四季度']\n",
    "num = [1152.0, 1224.0, 1095.5, 1135.0]\n",
    "plt.pie(num, explode=[0.02]*4, labels=lab,autopct='%1.1f%%', shadow=False,startangle=150)\n",
    "plt.title(\"社区店季度销售情况\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\pyecharts\\charts\\chart.py:14: PendingDeprecationWarning: pyecharts 所有图表类型将在 v1.9.0 版本开始强制使用 ChartItem 进行数据项配置 :)\n",
      "  super().__init__(init_opts=init_opts)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"f7ace146665c4ba0a18850d9234bd619\" style=\"width:720px; height:320px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_f7ace146665c4ba0a18850d9234bd619 = echarts.init(\n",
       "                    document.getElementById('f7ace146665c4ba0a18850d9234bd619'), 'white', {renderer: 'canvas'});\n",
       "                var option_f7ace146665c4ba0a18850d9234bd619 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e00\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1140.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e8c\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1216.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e09\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1265.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u56db\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1360.5\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"40%\",\n",
       "                \"80%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u7b2c\\u4e00\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u4e8c\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u4e09\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u56db\\u5b63\\u5ea6\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"CBD\\u5e97\\u5b63\\u5ea6\\u9500\\u552e\\u60c5\\u51b5\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_f7ace146665c4ba0a18850d9234bd619.setOption(option_f7ace146665c4ba0a18850d9234bd619);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x291fa20fc08>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 绘制饼图\n",
    "from pyecharts.charts import Pie\n",
    "import pyecharts.options as opts\n",
    "\n",
    "num = [1140.0, 1216.0, 1265.0, 1360.5]\n",
    "lab = ['第一季度', '第二季度', '第三季度', '第四季度']\n",
    "\n",
    "(\n",
    "     Pie(init_opts=opts.InitOpts(width='720px', height='320px'))\n",
    "    .add(series_name='', data_pair=[(j, i) for i, j in zip(num, lab)],radius=['40%', '80%'])   # radius为设置空心圆 \n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title='CBD店季度销售情况')) \n",
    ").render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\pyecharts\\charts\\chart.py:14: PendingDeprecationWarning: pyecharts 所有图表类型将在 v1.9.0 版本开始强制使用 ChartItem 进行数据项配置 :)\n",
      "  super().__init__(init_opts=init_opts)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"b448d806f6e84734994517b1417eba4d\" style=\"width:720px; height:320px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_b448d806f6e84734994517b1417eba4d = echarts.init(\n",
       "                    document.getElementById('b448d806f6e84734994517b1417eba4d'), 'white', {renderer: 'canvas'});\n",
       "                var option_b448d806f6e84734994517b1417eba4d = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e00\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1152.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e8c\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1224.0\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u4e09\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1095.5\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u7b2c\\u56db\\u5b63\\u5ea6\",\n",
       "                    \"value\": 1135.0\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"40%\",\n",
       "                \"80%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u7b2c\\u4e00\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u4e8c\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u4e09\\u5b63\\u5ea6\",\n",
       "                \"\\u7b2c\\u56db\\u5b63\\u5ea6\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u793e\\u533a\\u5e97\\u5b63\\u5ea6\\u9500\\u552e\\u60c5\\u51b5\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_b448d806f6e84734994517b1417eba4d.setOption(option_b448d806f6e84734994517b1417eba4d);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x291fa5fe248>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 绘制饼图\n",
    "from pyecharts.charts import Pie\n",
    "import pyecharts.options as opts\n",
    "\n",
    "num = [1152.0, 1224.0, 1095.5, 1135.0]\n",
    "lab = ['第一季度', '第二季度', '第三季度', '第四季度']\n",
    "\n",
    "(\n",
    "     Pie(init_opts=opts.InitOpts(width='720px', height='320px'))\n",
    "    .add(series_name='', data_pair=[(j, i) for i, j in zip(num, lab)],radius=['40%', '80%'])   # radius为设置空心圆 \n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title='社区店季度销售情况')) \n",
    ").render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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